TxtAI MCP Server

# ImageHash   The image hash pipeline generates perceptual image hashes. These hashes can be used to detect near-duplicate images. This method is not backed by machine learning models and not intended to find conceptually similar images. ## Example The following shows a simple example using this pipeline. ```python from txtai.pipeline import ImageHash # Create and run pipeline ihash = ImageHash() ihash("path to image file") ``` See the link below for a more detailed example. | Notebook | Description | | |:----------|:-------------|------:| | [Near duplicate image detection](https://github.com/neuml/txtai/blob/master/examples/31_Near_duplicate_image_detection.ipynb) | Identify duplicate and near-duplicate images | [](https://colab.research.google.com/github/neuml/txtai/blob/master/examples/31_Near_duplicate_image_detection.ipynb) | ## Configuration-driven example Pipelines are run with Python or configuration. Pipelines can be instantiated in [configuration](../../../api/configuration/#pipeline) using the lower case name of the pipeline. Configuration-driven pipelines are run with [workflows](../../../workflow/#configuration-driven-example) or the [API](../../../api#local-instance). ### config.yml ```yaml # Create pipeline using lower case class name imagehash: # Run pipeline with workflow workflow: imagehash: tasks: - action: imagehash ``` ### Run with Workflows ```python from txtai import Application # Create and run pipeline with workflow app = Application("config.yml") list(app.workflow("imagehash", ["path to image file"])) ``` ### Run with API ```bash CONFIG=config.yml uvicorn "txtai.api:app" & curl \ -X POST "http://localhost:8000/workflow" \ -H "Content-Type: application/json" \ -d '{"name":"imagehash", "elements":["path to image file"]}' ``` ## Methods Python documentation for the pipeline. ### ::: txtai.pipeline.ImageHash.__init__ ### ::: txtai.pipeline.ImageHash.__call__